🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Ming Y. Lu

Brigham and Women's Hospital

ORCID: 0000-0003-0009-9699
Computer ScienceMedicineBiochemistry, Genetics and Molecular Biology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 4%percentile
0.903Author DataRank

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis

arXiv (Cornell University)(2024)10.48550/arxiv.2406.16192
Top 22%
0.903DataRank
Top 22%22 citations

Paul Doucet, Andrew H. Song, Ming Y. Lu, Cristina Almagro-Pérez, Sophia J. Wagner +6 more

Papers

Driven by 10 papers — median percentile 78. Top paper: “Artificial intelligence for multimodal data integration in oncology”.

Artificial intelligence for multimodal data integration in oncology

Cancer Cell(2022)10.1016/j.ccell.2022.09.012
N/A
0.988DataRank · unranked
724 citations

Richard J. Chen, Bowen Chen, Ming Y. Lu, Matteo Barbieri, Daniel Shao +8 more

Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis

IEEE Transactions on Medical Imaging(2020)10.1109/tmi.2020.3021387
N/A
0.959DataRank · unranked
597 citations

Ming Y. Lu, Jingwen Wang, Drew F. K. Williamson, Scott J. Rodig, Neal I. Lindeman +2 more

HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis

arXiv (Cornell University)(2024)10.48550/arxiv.2406.16192
Top 22%
0.903DataRank
Top 22%22 citations

Paul Doucet, Andrew H. Song, Ming Y. Lu, Cristina Almagro-Pérez, Sophia J. Wagner +6 more

A Foundation Model for Spatial Proteomics

arXiv (Cornell University)(2025)10.48550/arxiv.2506.03373
N/A
0.292DataRank · unranked
6 citations

Yuzhou Chang, Huaying Qiu, Yao Yu Yeo, Guillaume Jaume, Yuchen Wang +55 more

Federated learning for computational pathology on gigapixel whole slide images

Medical Image Analysis(2021)10.1016/j.media.2021.102298
N/A
0DataRank · unranked
26 citations

Richard J. Chen, Dehan Kong, Jana Lipková, Rajendra Singh, Drew F. K. Williamson +3 more

Data-efficient and weakly supervised computational pathology on whole-slide images

Nature Biomedical Engineering(2021)10.1038/s41551-020-00682-w
N/A
0DataRank · unranked
75 citations

Drew F. K. Williamson, Tiffany Chen, Richard J. Chen, Matteo Barbieri, Faisal Mahmood +1 more

Pan-cancer integrative histology-genomic analysis via multimodal deep learning

Cancer Cell(2022)10.1016/j.ccell.2022.07.004
N/A
0DataRank · unranked
578 citations

Ming Y. Lu, Drew F. K. Williamson, Tiffany Chen, Jana Lipková, Zahra Noor +6 more

Fast and scalable search of whole-slide images via self-supervised deep learning

Nature Biomedical Engineering(2022)10.1038/s41551-022-00929-8
N/A
0DataRank · unranked
120 citations

Ming Y. Lu, Drew F. K. Williamson, Tiffany Chen, Andrew J. Schaumberg, Faisal Mahmood +1 more

Synthetic data in machine learning for medicine and healthcare

Nature Biomedical Engineering(2021)10.1038/s41551-021-00751-8
N/A
0DataRank · unranked
708 citations

Ming Y. Lu, Tiffany Chen, Drew F. K. Williamson, Faisal Mahmood, Richard J. Chen

Molecular-driven Foundation Model for Oncologic Pathology

arXiv (Cornell University)(2025)10.48550/arxiv.2501.16652
N/A
0DataRank · unranked
8 citations

Andrew Zhang, Guillaume Jaume, Andrew H. Song, Tong Ding, Sophia J. Wagner +13 more